134 related articles for article (PubMed ID: 36816391)
1. Brain tumor magnetic resonance images classification based machine learning paradigms.
Pattanaik BB; Anitha K; Rathore S; Biswas P; Sethy PK; Behera SK
Contemp Oncol (Pozn); 2022; 26(4):268-274. PubMed ID: 36816391
[TBL] [Abstract][Full Text] [Related]
2. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
[TBL] [Abstract][Full Text] [Related]
3. Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers.
Kumar SA; Sasikala S
Curr Med Imaging; 2023 Mar; ():. PubMed ID: 37018527
[TBL] [Abstract][Full Text] [Related]
4. Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images.
Mubarak AS; Serte S; Al-Turjman F; Ameen ZS; Ozsoz M
Expert Syst; 2022 Mar; 39(3):e12842. PubMed ID: 34898796
[TBL] [Abstract][Full Text] [Related]
5. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
6. A Hybrid Deep Learning Model for Brain Tumour Classification.
Rasool M; Ismail NA; Boulila W; Ammar A; Samma H; Yafooz WMS; Emara AM
Entropy (Basel); 2022 Jun; 24(6):. PubMed ID: 35741521
[TBL] [Abstract][Full Text] [Related]
7. Automatic detection of the meningioma tumor firmness in MRI images.
AlKubeyyer A; Ben Ismail MM; Bchir O; Alkubeyyer M
J Xray Sci Technol; 2020; 28(4):659-682. PubMed ID: 32538892
[TBL] [Abstract][Full Text] [Related]
8. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
Kang J; Ullah Z; Gwak J
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33810176
[TBL] [Abstract][Full Text] [Related]
9. Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.
Tandel GS; Balestrieri A; Jujaray T; Khanna NN; Saba L; Suri JS
Comput Biol Med; 2020 Jul; 122():103804. PubMed ID: 32658726
[TBL] [Abstract][Full Text] [Related]
10. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
11. PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images.
Kaplan E; Ekinci T; Kaplan S; Barua PD; Dogan S; Tuncer T; Tan RS; Arunkumar N; Acharya UR
Contrast Media Mol Imaging; 2022; 2022():6034971. PubMed ID: 35655731
[TBL] [Abstract][Full Text] [Related]
12. Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.
Cepeda S; Arrese I; García-García S; Velasco-Casares M; Escudero-Caro T; Zamora T; Sarabia R
World Neurosurg; 2021 Feb; 146():e1147-e1159. PubMed ID: 33259973
[TBL] [Abstract][Full Text] [Related]
13. Automated classification of nasal polyps in endoscopy video-frames using handcrafted and CNN features.
Ay B; Turker C; Emre E; Ay K; Aydin G
Comput Biol Med; 2022 Aug; 147():105725. PubMed ID: 35716434
[TBL] [Abstract][Full Text] [Related]
14. A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.
Peng A; Dai H; Duan H; Chen Y; Huang J; Zhou L; Chen L
Eur J Radiol; 2020 Apr; 125():108892. PubMed ID: 32087466
[TBL] [Abstract][Full Text] [Related]
15. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
[TBL] [Abstract][Full Text] [Related]
16. ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images.
Key S; Demir S; Gurger M; Yilmaz E; Barua PD; Dogan S; Tuncer T; Arunkumar N; Tan RS; Acharya UR
Med Eng Phys; 2022 Dec; 110():103864. PubMed ID: 35987726
[TBL] [Abstract][Full Text] [Related]
17. Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.
Nanmaran R; Srimathi S; Yamuna G; Thanigaivel S; Vickram AS; Priya AK; Karthick A; Karpagam J; Mohanavel V; Muhibbullah M
Comput Math Methods Med; 2022; 2022():7137524. PubMed ID: 35178119
[TBL] [Abstract][Full Text] [Related]
18. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
Kutlu H; Avcı E
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
[TBL] [Abstract][Full Text] [Related]
19. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning.
Liu C; Wang X; Liu C; Sun Q; Peng W
Biomed Eng Online; 2020 Aug; 19(1):66. PubMed ID: 32814568
[TBL] [Abstract][Full Text] [Related]
20. An Efficient Method for Brain Tumor Detection Using Texture Features and SVM Classifier in MR Images.
K KK; T MD; S M
Asian Pac J Cancer Prev; 2018 Oct; 19(10):2789-2794. PubMed ID: 30360607
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]